Drone Flight Performance Evaluation Methodology Based on Data Science





Moreno-García, Adrián H.

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Nowadays Unmanned Aerial Vehicle (UAV) consist of collaborators for hazardous jobs like deliveries, from commerce to clients, and emergency scenarios, like fire fighting and rescue humanitarian jobs. The pilot’s responsibility has increased as the new requirements settle for new applications, so in this way, they need to have enough capabilities to perform this valuable work. However, this required knowledge, skills, and attitudes not provided in a formal educational institute with an established process. Therefore, there is no method defined to know the level of performance of a Pilot, and this is essential before giving a duty as valuable of delivery. This thesis presents an effort to establish a detailed structured methodology for evaluating a pilot’s ability to coordinate psycho-motor and evaluate this determined pilot’s learning rate in a sequence of flights. Furthermore, to generate a predictive model representing this learning for a specific pilot and give formal evidence of the improvement in the near future and which orientation coordination ability can improve.

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Drones, Route Flights, UAVs, ANOVA, Flight Performance, Linear Regression


Moreno-García, A. H. (2022). Drone Flight Performance Evaluation Methodology Based on Data Science. Trabajo de obtención de grado, Maestría en Ciencia de Datos. Tlaquepaque, Jalisco: ITESO.